Optimization of a solid oxide fuel cell and micro gas turbine hybrid system

TECHNICAL NOTE Optimization of a solid oxide fuel cell and micro gas turbine hybrid system{ Xiao-Juan Wu1, *,† and Xin-Jian Zhu2 1 School of Automation, University of Electronic Science and Technology of China, Chengdu 610054, China 2 Institute of Fuel... More

TECHNICAL NOTE Optimization of a solid oxide fuel cell and micro gas turbine hybrid system{ Xiao-Juan Wu1, *,† and Xin-Jian Zhu2 1 School of Automation, University of Electronic Science and Technology of China, Chengdu 610054, China 2 Institute of Fuel Cell, Shanghai Jiao Tong University, Shanghai 200030, China SUMMARY For a solid oxide fuel cell (SOFC) and micro gas turbine (MGT) hybrid system, optimal control of load changes requires optimal dynamic scheduling of set points for the system’s controllers. Thus, this paper proposes an improved iterative particle swarm optimization (PSO) algorithm to optimize the operating parameters under various loads. This method combines the iteration method and the PSO algorithm together, which can execute the discrete PSO iteratively until the control profile would converge to an optimal one. In MATLAB environment, the simulation results show that the SOFC/MGT hybrid model with the optimized parameters can effectively track the output power with Less